多种再分析风产品在环渤海地区的适用性评估

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关键词HRCLDAS;ART_1km;风场评估;环渤海;灾害性大风

中图分类号：P468 文献标志码：A 文章编号：2096-3599（2025）06-0106-12

DOI：10.19513/j.cnki.hyqxxb.20250216001

Applicability evaluation of multiple reanalysis wind products in the Bohai Rim region

ZHU Rui1，WANG Yuhong²，WANG Xiaole³ （1.Cangzhou Meteorological Service，Cangzhou O61001，China；2.Hebei Meteorological Observatory，Shijazhuang 050000，China；3.Cangzhou Marine and Port Administration Bureau，Cangzhou O61o01，China）

AbstractFocusing on the Bohai Rim region，the study carres out an applicability evaluation for the mean wind products of the High Resolution China Meteorological Administration Land Data Assimilation System （HRCLDAS） and the 1-km-resolution products of the multi-source fused extreme wind real-time analysis（Analysis of Real Time，ART - 1km）from 2022 to 2023.The evaluation is based on the hourly wind observation data from 1 324 meteorological stations，including surface automatic stations，buoy stations and ofshore platforms.The results are shown below.The monthly mean absolute error of the HRCLDAS wind products is around 0.4m⋅s-1 . The errors of offshore stations are relatively large，and the phenomenon of wind speed underestimation is more obvious，while the dataquality in 2O23 significantly improves.During the same period，the accuracy rate of the mean wind direction is between 75% and 90% ，and the situation when the accuracy rate of some stations is lower than 60% during light winds is related to the terrain.In terms of extreme wind，when the wind is Beaufort wind force scale 6or above， the stronger the wind observed at stations，the greater the degree to which ART_1km underestimates.For windsofBeaufortwind force scale 8-9 ，thedailymeanabsolute errorsbetween the ART_1kmvalues and wind speed observations at both non-independent and independent stations range from 2 to 4m⋅s-1 ；for winds of Beaufort wind force scale 1O-11，the errors reach 4.5-5.5m⋅s-1 at non-independent stations. KeywordsHRCLDAS；ART_1km；wind field evaluation；Bohai Rim ；disastrous wind

0 引言

陆面数据同化系统作为获取高质量气象数据的关键技术手段之一，在气象领域发挥着日益重要的作用。（剩余10677字）